Abstract
Making sense of microarray data is a complex process, in which the interpretation of findings will depend on the overall experimental design and judgement of the investigator performing the analysis. As a result, differences in tissue harvesting, microarray types, sample labelling and data analysis procedures make post hoc sharing of microarray data a great challenge. To ensure rapid and meaningful data exchange, we need to create some order out of the existing chaos. In these ground-breaking microarray standardization and data sharing efforts, NIH agencies should take a leading role
MeSH terms
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Animals
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Databases, Factual / standards*
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Databases, Factual / trends*
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Electronic Data Processing / standards
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Electronic Data Processing / trends
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Gene Expression / physiology*
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Humans
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National Institutes of Health (U.S.) / standards
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National Institutes of Health (U.S.) / trends
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Neurosciences / methods*
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Neurosciences / trends*
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Oligonucleotide Array Sequence Analysis / methods
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Oligonucleotide Array Sequence Analysis / standards*
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Oligonucleotide Array Sequence Analysis / trends*
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Reproducibility of Results
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Research Design / standards
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Research Design / trends
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United States